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A Note on IBM Cloud/Bluemix

Please note: the Bluemix name was changed to IBM Cloud shortly after this course was recorded. Everything works the same way, but you may notice a few places where the Bluemix name and logo will now be replaced with "IBM Cloud".

0:00

I'd like to show you, in more detail,
what we are going to build in this course.

0:05

For starters, we are going to build this
in IBM's cloud platform, called Bluemix.

0:11

Bluemix enables developers to
rapidly build, deploy, and

0:15

manage cloud applications.

0:17

And easily tap into IBM's services,
like the Watson APIs.

0:23

This means you don't need
to set up a server or

0:26

anything special to run this chat bot.

0:29

We set it up in Bluemix and
then you can use it immediately.

0:33

Take a moment and
create a new free account for your app.

0:37

Search for Bluemix or use the link
in the teacher's notes to come to

0:42

this page and then follow the simple
prompts to create an account.

0:49

Now, I will log into my account to show
you some fully functional examples

0:53

of apps built with Watson.

0:56

As you can see from this screen,
I have already logged into my Bluemix.

1:02

I want to bring your
attention to the Catalog tab.

1:05

That's exactly where
this page is landed at.

1:10

And if you notice, there are a lot of
services on our platform as a service.

1:16

And not just Watson services.

1:18

Blockchain, DevOps, Finance, and so forth.

1:22

I want to bring your attention to
the Watson services down here.

1:26

Currently, we have 12 services.

1:29

We would be working closely with
the Conversation service and

1:33

the Discovery service.

1:35

Interesting to note that some of
these other services are also built

1:40

within the Conversation and
the Discovery service.

1:43

For example,

1:44

the Natural Language Classifier service
is built inside the Conversation service.

1:50

The Natural Language Understanding and
the Retrieve and

1:56

Rank services are built
within the Discovery service.

2:01

Now, let me bring your attention to one
of my favorite places, and yours will be

2:06

robust with applications before long,
and that Is the Dashboard field.

2:15

As you can see I happen to
have 9 applications built and

2:20

the 16 services that cater to those
applications that I have running above.

2:29

And this will be very much the same
scenario that you would have.

2:33

I want to bring your attention to
a number of interesting services.

2:38

Let's start with my car conversation.

2:40

If you recall, this is very much
the cognitive dashboard in your car

2:46

where you speak with the machine and
you issue commands.

2:51

You don't press any buttons.

2:52

You just tell turn on the wipers and
turn on the lights and so forth.

2:56

Let's try that.

3:00

Notice one of the very first things
that took place is that my browser

3:05

asked to share my location.

3:07

This is something that you will
discover in your exercises.

3:11

And you will make your browser also
Geo location aware, because at some

3:16

point we're going to ask how is
the weather while we are driving the car.

3:22

And so the browser takes a look at
your actual location where you are and

3:26

it would return back the exact true
weather live at that very location.

3:32

So I'm going to click share location.

3:35

Very well, it begins with, Hi,
it looks like a nice drive today.

3:39

What would you like to do?

3:41

I'll perhaps ask the question.

3:49

I'd like you to note that I
have mistyped turn on wipers.

3:54

But Watson understands
the semantics behind my syntactic.

3:58

It knows that I want
to turn on the wipers.

4:00

This actually is the power of
the Natural Language Classifier

4:04

built within the Conversation system.

4:07

I may ask the following question.

4:15

It's a dialogue.

4:16

Sure thing.

4:17

Which genre would you prefer?

4:18

Jazz is my favorite.

4:19

May be I like rock.

4:24

Now you can imagine if you
are connected to Spotify, for

4:28

example, you could use the APIs to
actually play some music on your car.

4:33

But we are indeed connected
to another entity, and

4:36

that is the weather company,
the Wunderground company.

4:40

So I'm going to ask
the following question.

4:49

That is the exact location
that I happen to be in, and

4:52

right now it happens to be low 70s in
Orlando where we are running this temp.